GEOG 500 - Spatial Data Science

(4 units)

Prerequisite(s): Introductory statistics course recommended.
Study of advanced methods for analyzing spatial data and phenomena, with an emphasis on quantitative and computational approaches in geography. Topics include multivariate statistical techniques, spatial modeling, and machine learning methods for geographic analysis. Students will gain hands-on experience applying these techniques to real-world spatial datasets using programming and statistical software.

Letter grade only (A-F). Double Numbered with: GEOG 400